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The article explores the challenges of product design, explains how misaligned communication hampers requirement understanding, introduces user journey maps as a visual tool to align teams, outlines their components and a step‑by‑step process for creating effective maps, and highlights their value for product management.
This article chronicles the development of 1688’s AI buyer assistant “Yuanbao”, detailing why an e‑commerce AI assistant is needed, its functional design, MVP constraints, the shift to a data‑driven 2.0 version, future prospects, and a Q&A, providing practical insights for AI product rollout in B‑to‑C platforms.
This article explores how modular and customizable design principles enhance flexibility, efficiency, and user experience in tool‑type products, offering practical examples, design considerations for interaction designers, and future trends such as AI‑driven dynamic customization and open modular ecosystems.
This article examines the challenges of traditional on‑premise software, explains how enterprise SaaS launchpads with dual front‑office and back‑office workbenches simplify user roles, improve digital asset management, and leverage AI to enhance efficiency, offering practical design patterns and service‑off‑boarding strategies.
This article explores how to design, prioritize, and extend keyboard shortcuts in a 3D design application, covering shortcut types, selection criteria, best‑practice methods, conflict handling, and customisation strategies to improve user efficiency and product consistency.
This article chronicles the author's three‑year journey as an AI product manager at JD.com, detailing the decision to enter the AI field, key project experiences such as platform integration and edge‑intelligence, a three‑stage growth roadmap, essential capabilities across four quadrants, and a forward‑looking view of AI's industry impact.
This article outlines Bilibili's data‑driven approach, describing the five‑year development of its big‑data development governance platform, its user segmentation, product positioning, data‑map and governance product designs, operational methods, value evaluation, and future roadmap, highlighting significant efficiency gains and user impact.
This presentation details the design, construction, and iteration of a management dashboard ("cockpit") for Kuaishou's e‑commerce data product team, covering data‑driven business logic, indicator design, product and interaction design, stability assurance, and common challenges with solutions, all aimed at improving business insight and decision‑making.
This article details Bilibili's five‑year development of a comprehensive big‑data governance platform, covering its usage scenarios, product positioning, data map and governance solutions, abstract configuration approach, operational mechanisms, and future plans, highlighting significant improvements in data efficiency and value assessment.
This article explores the design, implementation, and iterative improvement of management dashboards in fast‑moving e‑commerce data operations, covering metric system construction, product interaction, data accuracy, user experience, and common challenges with actionable solutions.
This article explains why user experience is crucial for middle‑platform systems, outlines the unique challenges they face, and provides a practical four‑step framework—including presentation, framework, structure, scope, and strategy layers—to design, implement, and measure effective UX improvements.
Taobao’s Night Taobao (BFace) redesign transforms the homepage into a 24‑hour entertainment hub, offering night‑time live streams, short videos and games, using modular front‑end components, cross‑container state sharing, and extensible data pipelines that enabled rapid iteration, tripled user engagement and powered the Double 11 gala.
This article shares the design, construction, and iteration practices of a management cockpit for metric systems within Kuaishou's e‑commerce data product team, covering data‑driven business logic, product architecture, indicator design, visualization, stability assurance, and common challenges to guide effective business decision‑making.
The article details Taobao's AI buyer show “淘淘秀,” describing its AIGC‑driven design, technical pipeline—including image generation, avatar synthesis, background replacement—and compares models such as Midjourney, Stable Diffusion, and Roop, while outlining usage flow, challenges, solutions, and future expansion plans.
This article explains the concepts, core design principles, construction workflow, and practical value of tag systems within a Customer Data Platform, illustrating how tags are built, managed, and applied across industries such as automotive, retail, and finance to enable precise marketing and analytics.
The article explains how to design and use user‑experience maps—defining stages, behaviors, thoughts, feelings, and opportunities—to improve product design, illustrates the concept with domestic and foreign examples, introduces the psychological peak‑end rule, and discusses how incentives and achievement systems can shape user engagement.
This article examines how AI, from its early deep‑learning roots to modern design tools, challenges traditional product design by highlighting both its strengths and limitations, explores which design tasks may be automated, and proposes ways designers can collaborate with AI to stay relevant.
The article examines the rapid rise of GPT models, their technical capabilities and limitations, and how their integration is reshaping software interaction from command‑line to GUI‑plus‑Language UI, offering frontend engineers new opportunities, practical examples, and guidance on leveraging large‑model AI in product design.
The article explains how combining quantitative surveys, qualitative analysis, and user interviews provides comprehensive, multidimensional insights that guide product design, innovation, and continuous improvement of user experience, emphasizing the broader scope of user research beyond simple interviews.
The article recaps a Beijing offline salon where experts and open‑source contributors discussed ChatGPT desktop applications, the development and deployment of ChatGPT‑Next‑Web, large‑language‑model challenges, the VisualGLM multimodal model, and product design considerations, providing technical insights and community perspectives on AI advancements.